What is the purpose of the EC Task Orchestrator skill?

The EC Task Orchestrator skill allows OpenClaw agents to manage tasks within the Enterprise Collaboration (EC) platform. This skill provides tools for creating, assigning, updating, and querying tasks.

What features does the EC Task Orchestrator skill offer?

Create new tasks, Assign tasks to users, Update task status, List tasks for a user or all tasks, Complete tasks.

What tools are provided by the skill?

create_ec_task, assign_ec_task, update_ec_task_status, get_user_tasks.

What is the description of the create_ec_task tool?

Creates a new task in the EC platform.

What priority values are allowed for create_ec_task?

low, medium, high (default: medium).

What does create_ec_task return?

task_id (string), status (string).

What does get_user_tasks return?

tasks (array of objects with task_id, title, status).

What are the dependencies of the skill?

EC platform API access, Valid API key stored in environment.

What are the limitations of the skill?

Rate limited to 100 calls per hour, Only supports basic task management.

OpenClaw skill

ec-task-orchestrator

An OpenClaw skill that provides a framework for orchestrating multi-agent task execution. It enables a lead agent to decompose complex tasks into subtasks, delegate them to specialist agents, track progress, and synthesize final outputs from results.

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How this skill works

Provides the 'ec-task-orchestrator' capability
Accepts inputs: task_definition (ARN of ECS task definition, required), cluster (ECS cluster name, required), container_overrides (optional), job_queue (Batch job queue name, required), job_definition (optional)
Outputs job_id (ID of the submitted Batch job)
Uses AWS SDK boto3 to create ECS client
Registers a temporary Batch job definition using the provided ECS task_definition converted to containerProperties if job_definition not provided
Submits the Batch job to the specified job_queue using submit_job
Returns the jobId from the submit_job response

When to use it

When a high-level task requires decomposition into sequential sub-tasks executed by other skills
When coordinating parallel execution of independent sub-tasks with dependency resolution
When monitoring task progress and handling failures with automatic retries or replanning

Best practices

Provide a valid ECS cluster name in the cluster parameter
Specify the task definition family or full ARN in the taskDefinition parameter
Set the count parameter to control the number of tasks launched and manage costs
Configure subnets array for network placement when using Fargate
Include securityGroups array if custom security groups are needed
Assign a taskRoleArn with necessary IAM permissions for the tasks
Use launchType 'FARGATE' or 'EC2' explicitly if not using capacity providers
Monitor execution via CloudWatch Logs group specified in logConfiguration

Example use cases

Personalized Fitness Program Creation: Decomposes planning into research, assessment, workout design, nutrition, tracking using skills like web_search, fitness_calculator, meal_planner, spreadsheet_generator.
Academic Research Paper Writing: Breaks into topic research, literature review, outline, writing sections, citations, proofreading using skills like academic_search, summarizer, writer, citation_manager, editor.
Software Development Task Automation: For 'Build a simple web app': requirements gathering, architecture design, code generation, testing, deployment using skills like requirements_analyzer, architect, code_generator, tester, deployer.
Event Planning Assistant: For 'Plan a birthday party': budget, guest list, venue, invitations, catering, schedule using skills like budget_calculator, contact_manager, venue_search.

FAQs

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